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Chromatographic separation simulation of metal‐chelating peptides from surface plasmon resonance binding parameters
Author(s) -
Muhr Laurence,
Pontvianne Steve,
Selmeczi Katalin,
Paris Cédric,
BoschiMuller Sandrine,
CanabadyRochelle Laetitia
Publication year - 2020
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201900882
Subject(s) - surface plasmon resonance , chelation , chemistry , metal , adsorption , metal ions in aqueous solution , langmuir adsorption model , chromatography , resonance (particle physics) , peptide , analytical chemistry (journal) , materials science , inorganic chemistry , organic chemistry , nanoparticle , nanotechnology , biochemistry , physics , particle physics
Some metal‐chelating peptides have antioxidant properties, with potential nutrition, health, and cosmetics applications. This study aimed to simulate their separation on immobilized metal ion affinity chromatography from their affinity constant for immobilized metal ion determined in surface plasmon resonance, both technics are based on peptide‐metal ion interactions. In our approach, first, the affinity constant of synthetic peptides was determined by surface plasmon resonance and used as input data to numerically simulate the chromatographic separation with a transport‐dispersive model based on Langmuir adsorption isotherm. Then, chromatographic separation was applied on the same peptides to determine their retention time and compare this experimental t R with the simulated t R obtained from simulation from surface plasmon resonance data. For the investigated peptides, the relative values of t R were comparable. Hence, our study demonstrated the pertinence of such numerical simulation correlating immobilized metal ion affinity chromatography and surface plasmon resonance.